# Finn Real Estate Scraper (`unfenced-group/finn-realestate-scraper`) Actor Scrape property listings from Finn.no — Norway's largest real estate portal with 50,000+ active listings. Returns price (NOK), area (m²), rooms, municipality, GPS coordinates, energy label, estate agent and full description for house, apartment and leisure property listings. - **URL**: https://apify.com/unfenced-group/finn-realestate-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Real estate, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Finn.no Real Estate Scraper ![finn-realestate-scraper](https://api.apify.com/v2/key-value-stores/lJlifu6C8YQfZMPKE/records/finn-realestate-scraper) Scrape property listings from [Finn.no](https://www.finn.no/realestate) — Norway's largest real estate marketplace with 60,000+ active listings. Returns 30+ structured fields per listing: asking price, total price, collective debt, area, floor, construction year, energy label, GPS coordinates, viewing dates and more. No API key required. --- ### Why this scraper? #### ⚡ Structured data — not raw HTML Listing data is extracted directly from Finn.no's embedded page state, giving you clean, typed values without fragile HTML parsing. #### 🏠 30+ fields per listing Price, collective debt, monthly fees, area, rooms, floor, construction year, energy label, GPS coordinates, viewing schedule, housing cooperative name, and full description — all in one dataset row. #### 📍 National coverage Oslo, Bergen, Trondheim, Stavanger and all Norwegian municipalities. Search by city name — no numeric IDs needed. Covers all major property categories: homes, plots, leisure homes, new builds and commercial. #### 💰 Pay only for what you scrape No monthly subscriptions. Pay per result — typical runs cost a fraction of flat-rate scraping tools. --- ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `locations` | array of strings | _(all Norway)_ | City or municipality names to search, e.g. `["Oslo"]` or `["Bergen", "Stavanger"]`. Leave empty for national results. | | `propertyCategory` | string | `homes` | Category: `homes`, `newbuildings`, `plots`, `leisureplots`, `leisurehomes`, `businesssale`, `abroad` | | `minPrice` | integer | — | Minimum asking price in NOK. Leave empty for no minimum. | | `maxPrice` | integer | — | Maximum asking price in NOK. Leave empty for no maximum. | | `daysOld` | integer | — | Only return listings published within the last N days. Leave empty for no recency filter. | | `maxItems` | integer | `100` | Maximum number of listings to return | | `fetchDetails` | boolean | `true` | Fetch each listing's detail page for 20+ additional fields (rooms, floor, lat/lng, etc.). Disable for list-only mode. | | `startUrls` | array | — | Direct Finn.no real estate search URLs. Overrides `propertyCategory` and `locations`. | #### Searching by location Enter any Norwegian city or municipality name directly — no numeric IDs needed: ```json { "locations": ["Oslo"], "propertyCategory": "homes", "maxItems": 200 } ```` For multi-city runs, pass multiple names: ```json { "locations": ["Bergen", "Stavanger", "Sandnes"], "propertyCategory": "homes", "maxItems": 500 } ``` Leave `locations` empty (or omit it) to search all of Norway. #### Price and recency filters ```json { "locations": ["Oslo"], "minPrice": 3000000, "maxPrice": 8000000, "daysOld": 7, "maxItems": 100 } ``` *** ### Output schema Each item in the dataset contains: ```json { "id": "461993507", "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=461993507", "propertyType": "Leilighet", "ownershipType": "Andel", "adViewTypeLabel": "Bolig til salgs", "transaction": "sale", "title": "Lys 1R mot indre gårdsrom | Felles balkong og takterrasse", "localAreaName": "Bislett stadion", "description": "Effektiv og arealsmart 1-roms med rikelig dagslys...", "priceAmount": 2490000, "totalPrice": 2651307, "collectiveDebt": 150000, "priceCurrency": "NOK", "monthlyFee": 2904, "rooms": 1, "bedrooms": 0, "floor": 2, "constructionYear": 1997, "areaM2": 15, "primaryAreaM2": 15, "plotAreaM2": null, "plotOwned": null, "energyLabel": "D", "streetAddress": "Dalsbergstien 22A", "postalCode": "0170", "city": "Oslo", "country": "NO", "latitude": 59.92263769335697, "longitude": 10.734218269524776, "cooperativeName": "BORETTSLAGET DALSBERGSTIEN 22 A", "agencyName": "&Partners Grünerløkka", "images": [ "https://images.finncdn.no/dynamic/default/2026/5/vertical-2/...", "https://images.finncdn.no/dynamic/default/2026/5/vertical-2/..." ], "viewingDates": ["2026-05-10 13:30"], "source": "finn.no", "scrapedAt": "2026-05-06T10:30:00.000Z", "contentHash": "a3f2c1d890e4b567" } ``` #### Field reference | Field | Type | Notes | |-------|------|-------| | `id` | string | Finn.no finnkode (unique listing ID) | | `url` | string | Direct listing URL | | `propertyType` | string | e.g. Leilighet, Enebolig, Rekkehus | | `ownershipType` | string | Andel, Selveier, Aksje, Obligasjon | | `transaction` | string | Always `sale` | | `title` | string | Full listing headline | | `localAreaName` | string | Nearest landmark or neighbourhood name | | `description` | string | Plain-text description (from detail page) | | `priceAmount` | integer | Asking price in NOK | | `totalPrice` | integer | Total price incl. costs in NOK | | `collectiveDebt` | integer | Collective debt (fellesgjeld) in NOK | | `priceCurrency` | string | Always `NOK` | | `monthlyFee` | integer | Monthly housing fee (felleskostnader) in NOK | | `rooms` | integer | Total number of rooms | | `bedrooms` | integer | Number of bedrooms | | `floor` | integer | Floor number | | `constructionYear` | integer | Year the property was built | | `areaM2` | number | Usable area in m² | | `primaryAreaM2` | number | Primary area in m² | | `plotAreaM2` | number | Plot area in m² (houses/plots only) | | `plotOwned` | boolean | Whether the plot is owned (vs. leasehold) | | `energyLabel` | string | Energy rating: A–G | | `streetAddress` | string | Street address | | `postalCode` | string | Norwegian postal code | | `city` | string | City/municipality name | | `country` | string | Always `NO` | | `latitude` | number | GPS latitude | | `longitude` | number | GPS longitude | | `cooperativeName` | string | Housing cooperative name (borettslag/sameie) | | `agencyName` | string | Real estate agency name | | `images` | array | Full-resolution image URLs (finncdn.no) | | `viewingDates` | array | Scheduled viewing dates (ISO date + time) | | `source` | string | Always `finn.no` | | `scrapedAt` | string | ISO 8601 timestamp | | `contentHash` | string | MD5 hash for change detection | *** ### Pricing **$1.50 per 1,000 results** — pay only for what you extract. | Volume | Cost | |--------|------| | 1,000 results | $1.50 | | 10,000 results | $15.00 | | 50,000 results | $75.00 | **List-only mode** (`fetchDetails: false`): each page fetch covers 50 listings — ideal for high-volume monitoring at lowest cost. **Detail mode** (`fetchDetails: true`, default): one additional request per listing for the full 30+ field dataset. *** ### Known limitations - **Rental listings**: this scraper targets the sales vertical (`/realestate/homes`). Finn.no rental listings are a separate vertical not covered here - **New builds**: project-level listings may have different field availability; individual unit data is returned when available - **Abroad listings**: the `abroad` category uses a different page structure; some fields may not be populated *** ### Technical details - **Location**: Norway - **Platform**: Finn.no (Vend AS) - **Output format**: JSON (Apify Dataset) - **Authentication**: Not required - **Default memory**: 1,024 MB - **Extraction method**: Embedded page state (turbo-stream JSON) for detail pages; HTML (Cheerio) for search result lists *** ### Need a custom scraper? **[Unfenced Group](https://www.unfencedgroup.nl)** builds Apify actors for any website — for free. If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio. **Get in touch:** [www.unfencedgroup.nl](https://www.unfencedgroup.nl) # Actor input Schema ## `locations` (type: `array`): One or more Norwegian city or municipality names to search in, e.g. 'Oslo', 'Bergen', 'Trondheim'. Leave empty for all of Norway. Supports multiple values for multi-city runs. ## `propertyCategory` (type: `string`): Property category to search ## `minPrice` (type: `integer`): Minimum asking price in NOK. Leave empty for no minimum. ## `maxPrice` (type: `integer`): Maximum asking price in NOK. Leave empty for no maximum. ## `daysOld` (type: `integer`): Only return listings published within the last N days. Leave empty for no recency filter. ## `fetchDetails` (type: `boolean`): ON: fetches each listing's detail page for 20+ additional fields (rooms, floor, GPS coordinates, energy label, cooperative name, description, viewing dates). OFF: returns list-page fields only — faster and lower cost. ## `maxItems` (type: `integer`): Maximum number of listings to return ## `startUrls` (type: `array`): Direct finn.no real estate search URLs. Overrides propertyCategory and locations when provided. ## Actor input object example ```json { "locations": [ "Oslo" ], "propertyCategory": "homes", "fetchDetails": true, "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): Scraped results # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "locations": [ "Oslo" ], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/finn-realestate-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "locations": ["Oslo"], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("unfenced-group/finn-realestate-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "locations": [ "Oslo" ], "maxItems": 100 }' | apify call unfenced-group/finn-realestate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/finn-realestate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Finn Real Estate Scraper", "description": "Scrape property listings from Finn.no — Norway's largest real estate portal with 50,000+ active listings. Returns price (NOK), area (m²), rooms, municipality, GPS coordinates, energy label, estate agent and full description for house, apartment and leisure property listings.", "version": "0.0", "x-build-id": "nkDOi9ECwE4riAVtv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~finn-realestate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-finn-realestate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~finn-realestate-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-finn-realestate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~finn-realestate-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-finn-realestate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "locations": { "title": "Locations", "type": "array", "description": "One or more Norwegian city or municipality names to search in, e.g. 'Oslo', 'Bergen', 'Trondheim'. Leave empty for all of Norway. Supports multiple values for multi-city runs.", "items": { "type": "string" } }, "propertyCategory": { "title": "Property category", "enum": [ "homes", "newbuildings", "plots", "leisureplots", "leisurehomes", "businesssale", "abroad" ], "type": "string", "description": "Property category to search", "default": "homes" }, "minPrice": { "title": "Min price (NOK)", "minimum": 0, "type": "integer", "description": "Minimum asking price in NOK. Leave empty for no minimum." }, "maxPrice": { "title": "Max price (NOK)", "minimum": 0, "type": "integer", "description": "Maximum asking price in NOK. Leave empty for no maximum." }, "daysOld": { "title": "Max listing age (days)", "minimum": 1, "type": "integer", "description": "Only return listings published within the last N days. Leave empty for no recency filter." }, "fetchDetails": { "title": "Fetch full listing details", "type": "boolean", "description": "ON: fetches each listing's detail page for 20+ additional fields (rooms, floor, GPS coordinates, energy label, cooperative name, description, viewing dates). OFF: returns list-page fields only — faster and lower cost.", "default": true }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of listings to return", "default": 100 }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Direct finn.no real estate search URLs. Overrides propertyCategory and locations when provided.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```